| Literature DB >> 29757928 |
Stana Ubavić1, Nataša Bogavac-Stanojević2, Aleksandra Jović-Vraneš3, Dušanka Krajnović4.
Abstract
Parental health literacy plays an important role in children&rsquo;s health, Experiences from pharmacy practice show that is necessary to check if parents understand instructions about use of medicines for children. This study aimed to assess pharmacotherapy literacy of parents of pre-school children and to examine association of parental pharmacotherapy literacy level with parent&rsquo;s socio-demographic characteristics. The study was cross-sectional, conducted among parents of pre-school children (1⁻7 years of age), in kindergartens in several municipalities of Belgrade, Serbia, during regular parents meetings, from May to October 2016. Functional health literacy was measured by the Serbian version of the Short Test of Functional Health Literacy in Adults (S-TOFHLA). Parental pharmacotherapy literacy was assessed with newly constructed PTHL-SR questionnaire with good psychometric characteristics (Parental pharmacotherapy literacy questionnaire&mdash;Serbian). Overall, 813 parents participated in the study, mostly females (81.30%), between 30 to 40 years of age (70.85%) with two children (56.70%). Almost all of our study participants (99%) had adequate health literacy as assessed by S-TOFHLA. Mean score on PTHL-SR was 72.83% (standard deviation was 13.37), with better results among females than males (72% of women were in the group of highest PTHL-SR results). Our study showed that many parents (76.5%) knew the appropriate usage of non-prescription medicine for children, 57.2% parents were able to correctly calculate the dose of oral syrup for a child, and only 43.3% were able to interpret non-prescription dosage information written on the package. The majority of parents (61.3%) would make a dosage to child based on age and not on their weight. Every fifth parent with adequate functional health literacy measured by S-TOFHLA test, achieved the lowest results measured by PTHL-SR. Higher performance of the PTHL-SR was significantly correlated with education (p < 0.001), female sex (p < 0.001), married parents and those living in common-law (p < 0.001), older parents (p < 0.05) and parents who have more children (p < 0.05), and are non-smokers (p < 0.05). These results provide evidence that limitations in understanding common information about use of medicines are widespread among parents of pre-school children and encourage efforts for further investigation. PTHL-SR questionnaire may be a useful tool for identification of parents who need more instructions and assistance from healthcare providers, above all in providing better communication, written or spoken at community pharmacy settings.Entities:
Keywords: health education; health literacy; parents; pharmacotherapy; pre-school children
Mesh:
Year: 2018 PMID: 29757928 PMCID: PMC5982016 DOI: 10.3390/ijerph15050977
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Socio-demographic characteristics of the parents in the survey.
| Socio-Demographic Characteristics | No. | % | |
|---|---|---|---|
| Sex | Male | 152 | 18.7 |
| Female | 661 | 81.3 | |
| Age (years) | 18–29 | 59 | 7.26 |
| 30–40 | 576 | 70.8 | |
| 41–50 | 161 | 19.8 | |
| 51–60 | 17 | 2.09 | |
| Number of children | One child | 245 | 30.1 |
| Two children | 461 | 56.7 | |
| Three and more children | 107 | 13.1 | |
| Marital state | Single parent a | 80 | 9.8 |
| Married/Common-law | 733 | 90.2 | |
| Education | University degree and higher b | 460 | 56.6 |
| Middle school or less c | 353 | 43.3 | |
| Employment | Employed | 716 | 88.1 |
| Unemployed | 97 | 11.9 | |
| Self-estimation of health status | Average and Bad | 144 | 17.7 |
| Good | 502 | 61.7 | |
| Excellent | 167 | 20.5 | |
| Chronic diseases | No | 710 | 87.3 |
| Yes | 103 | 12.7 | |
| Smoker | No | 570 | 70.2 |
| Yes | 243 | 29.8 | |
| Breast feeding of a first child | No | 85 | 10.5 |
| Yes | 728 | 89.5 | |
| Annual visits to pediatrician | 1–2 times a year | 270 | 33.2 |
| 3–4 times | 263 | 32.3 | |
| 5–6 times a year and more | 280 | 34.5 | |
In Table 1 are presented absolute and relative frequences. a Single parents (widows, divorced, living with a child alone). b University degee and higher (at least 16 years of education). c Middle school or less (8–12 years of education).
List of questions and percent of correct answers in PTHL-SR questionnaire.
| No | Question | Domain | % Correct |
|---|---|---|---|
| 1 | What is this medicine (ibuprofen) used for? | Knowledge | 76.5 |
| 2 | What does this medicine contain? (picture of paracetamol syrup) | Knowledge | 97.7 |
| 3 | Would you give an aspirin to a child of 6 years if it has a fever? | Knowledge | 84.4 |
| 4 | Your child has otitis and pain. How do you calculate the dose for a child/Where do you find information how much medicine for pain relief to give (per kg or per age)? | Knowledge | 38.7 |
| 5 | What is the highest temperature limit after you give antipyretic to a child? | Knowledge | 89.3 |
| 6 | Pharmacist told you to avoid milk and milk products while taking medicine. What does it mean to you? | Understanding | 79.3 |
| 7 | Avoid sun while taking medicine. What does it mean to you? | Understanding | 64.0 |
| 8 | Keep under 25 °C. After reconstitution, keep refrigerated up to 14 days. How will you store this medicine after reconstitution? | Understanding | 83.4 |
| 9 | You have to give medicine to a child 2 times a day. If your package has 10 items, how many medicines you will have after 3 days? | Numeracy | 94.8 |
| 10 | To mark the dosage for a child of 13 kg on measuring spoon. | Numeracy | 96.3 |
| 11 | To answer how much medicine is inside the oral syringe. | Numeracy | 92.6 |
| 12 | To calculate a dose of oral syrup for child based on dosage regimen per kg. | Numeracy | 57.2 |
| 13 | To interpret paracetamol dosage chart written on package, per weight. | Numeracy | 43.3 |
| 14 | Where did you get an information how much antipyretic to give to your child? | Access | 94.7 |
Parent’s pharmacotherapy literacy according to socio-demographic characteristics.
| Parents Characteristics | Knowledge X ± SD (Max Score: 5) | Understanding X ± SD (Max Score: 3) | Numeracy X ± SD (Max Score: 5) | Total Score X ± SD (Max Score: 14) | ||||
|---|---|---|---|---|---|---|---|---|
| Sex | ||||||||
| Male | 3.64 ± 1.02 | <0.001 | 2.41 ± 0.89 | 0.243 | 3.81 ± 0.98 | 0.693 | 9.88 ± 2.06 | 0.019 |
| Female | 3.91 ± 0.88 | 2.50 ± 0.85 | 3.85 ± 0.91 | 10.27 ± 1.82 | ||||
| Age (years) | ||||||||
| 18–29 | 3.46 ± 1.21 | <0.001 | 2.25 ± 0.97 | 0.105 | 3.44 ± 1.04 | 0.004 | 9.15 ± 2.43 | <0.001 |
| 30–40 | 3.86 ± 0.87 * | 2.53 ± 0.85 | 3.89 ± 0.89 * | 10.28 ± 1.78 * | ||||
| 41–50 | 4.04 ± 0.92 * | 2.44 ± 0.86 | 3.83 ± 0.98 * | 10.32 ± 1.86 * | ||||
| 51–60 | 3.76 ± 0.83 | 2.41 ± 0.79 | 3.71 ± 0.98 | 9.88 ± 1.87 | ||||
| Number of children | ||||||||
| One child | 3.75 ± 0.98 | 0.050 | 2.41 ± 0.93 | 0.118 | 3.78 ± 0.94 | 0.057 | 9.94 ± 2.01 | 0.014 |
| Two children | 3.92 ± 0.89 | 2.50 ± 0.84 | 3.83 ± 0.92 | 10.25 ± 1.79 | ||||
| Three children and more | 3.89 ± 0.88 | 2.61 ± 0.81 | 4.04 ± 0.90 | 10.54 ± 1.83 * | ||||
| Marital status | ||||||||
| Single parent | 3.61 ± 1.23 | 0.009 | 2.23 ± 0.99 | 0.006 | 3.86 ± 0.91 | 0.067 | 9.51 ± 2.50 | <0.001 |
| Married | 3.89 ± 0.87 | 2.51 ± 0.85 | 3.66 ± 1.04 | 10.27 ± 1.78 | ||||
| Education | ||||||||
| University degree and higher a | 3.98 ± 0.82 | <0.001 | 2.60 ± 0.83 | <0.001 | 3.99 ± 0.86 | <0.001 | 10.58 ± 1.67 | <0.001 |
| Middle school and less education b | 3.71 ± 1.00 | 2.34 ± 0.89 | 3.64 ± 0.97 | 9.69 ± 1.99 | ||||
| Employment | ||||||||
| Employed | 4.01 ± 0.94 | 0.098 | 2.50 ± 0.85 | 0.122 | 3.87 ± 0.89 | 0.021* | 10.22 ± 1.79 | 0.296 |
| Unemployed | 3.84 ± 0.91 | 2.36 ± 0.96 | 3.64 ± 1.14 | 10.01 ± 2.37 | ||||
| Self-estimation of health status | ||||||||
| Average and bad | 3.85 ± 1.00 | 0.557 | 2.43 ± 0.88 | 0.299 | 3.71 ± 1.06 | 0.080 | 10.00 ± 2.26 | 0.079 |
| Good | 3.85 ± 0.91 | 2.47 ± 0.89 | 3.84 ± 0.91 | 10.17 ± 1.84 | ||||
| Excellent | 3.93 ± 0.84 | 2.57 ± 0.76 | 3.95 ± 0.85 | 10.46 ± 1.60 | ||||
| Chronic diseases | ||||||||
| No | 3.84 ± 0.92 | 0.089 | 2.48 ± 0.88 | 0.652 | 3.84 ± 0.94 | 0.553 | 11.94 ± 1.97 | 0.101 |
| Yes | 4.01 ± 0.91 | 2.52 ± 0.77 | 3.89 ± 0.84 | 12.27 ± 1.71 | ||||
| Smoking | ||||||||
| No | 3.91 ± 0.89 | 0.023 | 2.50 ± 0.85 | 0.573 | 3.91 ± 0.88 | <0.001 | 10.33 ± 1.75 | 0.002* |
| Yes | 3.75 ± 0.96 | 2.46 ± 0.91 | 3.66 ± 1.01 | 9.88 ± 2.10 | ||||
| Breast feeding of a first child | ||||||||
| Yes | 3.88 ± 0.90 | 0.845 | 2.49 ± 0.84 | 0.945 | 3.90 ± 0.94 | 0.129 | 10.27 ± 1.88 | 0.520 |
| No | 3.82 ± 0.93 | 2.46 ± 0.96 | 3.88 ± 0.84 | 10.16 ± 1.98 | ||||
| Annual visits to pediatrician | ||||||||
| 1–2 times | 3.90 ± 0.88 | 0.447 | 2.53 ± 0.90 | 0.770 | 3.88 ± 0.92 | 0.579 | 10.31 ± 1.83 | 0.352 |
| 3–4 times | 3.89 ± 0.92 | 2.48 ± 0.87 | 3.86 ± 0.93 | 10.23 ± 1.92 | ||||
| 5–6 times and more | 3.83 ± 0.94 | 2.45 ± 0.83 | 3.79 ± 0.93 | 10.07 ± 1.86 | ||||
Groups were compared by Student t test for two samples or one-way ANOVA test. * Significant difference between groups (p ≤ 0.05), determined by Post Hoc Tukey-Kramer test. a University degree and higher (at least 16 years of education). b Middle school or less (8–12 years of education).
Dependance of total PTHL-SR score from socio-demographic characteristics.
| Parents Characteristics | Total Score | |||
|---|---|---|---|---|
| Low | Medium | High | ||
| Sex | ||||
| Male | 42.1% | 36.2% | 21.7% | 0.003 |
| Female | 28.0% | 45.5% | 26.5% | |
| Age (years) | ||||
| 18–29 | 45.8% | 42.4% | 11.9% | 0.07 |
| 30–40 | 29.7% | 43.4% | 26.9% | |
| 41–50 | 28.0% | 44.7% | 27.3% | |
| 51–60 | 35.3% | 52.9% | 11.8% | |
| Number of children | ||||
| One child | 37.1% | 40.0% | 22.9% | 0.082 |
| Two children | 28.9% | 44.7% | 26.5% | |
| Three children and more | 23.4% | 48.6% | 28.0% | |
| Marital status | ||||
| Single parent | 42.5% | 33.8% | 23.8% | 0.044 |
| Married | 29.3% | 44.9% | 25.8% | |
| Education | ||||
| University degree and higher a | 23.3% | 43.7% | 33.0% | <0.001 |
| Middle school and less (8–12 years of education) b | 40.2% | 43.9% | 15.9% | |
| Employment | ||||
| Employed | 30.9% | 43.6% | 25.6% | 0.916 |
| Unemployed | 28.9% | 45.4% | 25.8% | |
| Self-estimation of health status | ||||
| Average and bad | 34.0% | 43.1% | 22.9% | 0.048 |
| Good | 32.7% | 41.2% | 26.1% | |
| Excellent | 21.6% | 52.1% | 26.3% | |
| Chronic diseases | ||||
| No | 31.3% | 43.2% | 25.5% | 0.562 |
| Yes | 26.2% | 47.6% | 26.2% | |
| Smoker | ||||
| No | 30.9% | 43.5% | 25.6% | 0.001 |
| Yes | 35.5% | 42.1% | 22.3% | |
| Breast feeding of a first child | ||||
| Yes | 30.8% | 42.6% | 26.8% | 0.912 |
| No | 28.2% | 45.9% | 25.9% | |
| Annual visits to pediatrician | ||||
| 1–2 times | 32.2% | 38.5% | 29.3% | 0.266 |
| 3–4 times | 27.4% | 47.1% | 25.5% | |
| 5–6 times and more | 32.1% | 45.7% | 22.2% | |
a University degree and higher (at least 16 years of education). b Middle school or less (8–12 years of education).
Parent’s characteristics associated with lower PTHL-SR results.
| Characteristic | OR | 95% CI | |
|---|---|---|---|
| Sex | |||
| Male sex | 1.871 | 1.300–2.693 | <0.001 |
| Age (years) | |||
| 30–40 | 0.500 | 0.291–0.861 | 0.012 |
| 41–50 | 0.460 | 0.248–0.852 | 0.014 |
| Number of children | |||
| 2 children | 0.686 | 0.494–0.953 | 0.025 |
| 3 children | 0.516 | 0.308–0.866 | 0.012 |
| Marital status | |||
| Single | 1.781 | 1.112–2.852 | 0.016 |
| Married (Common-law) | |||
| Education | |||
| Higher education | 0.450 | 0.333–0.610 | <0.001 |
| Self-estimation of health status | |||
| Excellent | 0.533 | 0.322–0.883 | 0.015 |